Robust deep mixture models
Jinran Wu & Geoffrey J. McLachlan
Semi-supervised learning with a mixed-missingness mechanism
Geoffrey J. McLachlan & Jinran Wu
Semi-supervised classification with informative missing labels in Weibull mixture models
Jinran Wu, You-Gan Wang & Geoffrey J. McLachlan
Learning from uncertainty-dependent missing labels for semi-supervised classification
You-Gan Wang, Jinran Wu & Geoffrey J. McLachlan
Precision-based inference for latent Markov time series with measurement error
You-Gan Wang & Jinran Wu
Genomic language models decode bidirectional promoter activity and reveal conserved regulatory patterns across plant species
Shang Gao, Tingxi Yu, Jinran Wu, Shoukun Chen, Muhammad Amjad Farooq, Takele Weldu Gebrewahid, Jiahui Geng, Yuanyuan Jiang, Zhangping Huang, Jiankang Wang, Geoffrey J. McLachlan & Huihui Li
Graph-weighted robust empirical risk minimization via pairwise residual contrasts
You-Gan Wang & Jinran Wu
Module-structured mixture factor models for molecular subtype discovery in transcriptomic data
Jinran Wu, Geoffrey J. McLachlan & Saumyadipta Pyne
Robust estimation of mean and correlation parameters in analyzing longitudinal data
You-Gan Wang, Jiming Jiang, Zhidong Bai, Jinran Wu & Geoffrey J. McLachlan
Multiscale PINN with maximum a posterior estimation for inverse problems in noisy elliptic PDEs
Yilong Hou, Xi’an Li, Jinran Wu & You-Gan Wang
SSLfmm: An R package for semi-supervised learning with mixed missingness
Geoffrey J. McLachlan & Jinran Wu